Basic & Clinical Medicine ›› 2016, Vol. 36 ›› Issue (10): 1335-1340.

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Influence of miR-26a on proliferation and migration in human hepatic carcinoma cell lineSMMC-7721

  

  • Received:2016-04-28 Revised:2016-07-05 Online:2016-10-05 Published:2016-09-27

Abstract: Objective To observe the expression level of miR-26a in human hepatic carcinoma and the influence of high expressed miR-26a on the proliferation and migration in human hepatic carcinoma cell lineSMMC-7721. MethodsThe miR-26a expression level was analyzed by bioinformatic analysis in human hepatic carcinoma and normal hepatic tissue. The miR-26a oligonucleotide was chemically synthesized and confirmed by sequencing. The miR-26a eukaryon expression system was constructed by pcDNA6.2-GW/Em-GFP-miR plasmid. The miR-26a was transfected into the SMMC-7721 cells transiently by pcDNA6.2-GW/Em-GFP -miR-15a plasmid, and quantified by quantitative real-time PCR on mRNA level. The proliferation and migration ability of SMMC-7721 cell with high-expressed miR-26a were detected by CCK8 assay and Wound Healing assay, respectively. Results The miR-26a was remarkable lower in the hepatic carcinoma tissues than in the normal hepatic tissues, the difference was statistically significant(P<0.0001). The sequence of miR-26a oligonucleotide wasmatched withthe designed sequence in 100%. The miR-26a expression was increased statistically (P<0.05) in SMMC-7721 cell transfected by pcDNA6.2-GW/Em-GFP-miR plasmid than control groups. The proliferation velocity of SMMC-7721 was decreased in high expressed miR-26a group than control groups with statistically difference (P<0.05). The migration velocity of SMMC-7721 was also decreased in high expressed miR-26a group than control groups with statistically difference (P<0.05). ConclusionsMiR-26a is low expressed in hepatic carcinoma tissue. High expressed miR-26a could decrease the capability of proliferation and migration in human hepatic carcinoma cell lineSMMC-7721.

Key words: MiR-26a, Hepatoma carcinoma, Proliferation, Migrations, Bioinformatic analysis